Evidence map›Paper›PMID 38872908›Full record

ArticleDemographic research

The importance of education for understanding variability of dementia onset in the United States.

Hyungmin Cha, Mateo P Farina, Chi-Tsun Chiu, Mark D Hayward

Abstract read
In one paragraph

Article in Demographic research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. How Childhood State Education Quality Shapes the Risk of Cognitive Impairment in Mid-to-Later Life.Alzheimer's & dementia. Behavior & socioeconomics of aging · 2026
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hyungmin ChaShared authorship. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, USA.
Mateo P FarinaShared authorship. Department of Human Development and Family Sciences, Center on Aging and Population Sciences and Population Research Center, University of Texas at Austin, Austin, USA.
Chi-Tsun ChiuInstitute of European and American Studies, Academia Sinica, Taipei, Taiwan.
Mark D HaywardDepartment of Sociology, Center on Aging and Population Sciences and Population Research Center, University of Texas at Austin, Austin, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
USC Resource Center for Minority Aging Research (US-RCMAR)P30AG043073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMMA AGUILA, JENNIFER A AILSHIRE · 2012 to 2026
$10.1M
EXPANDING MHAS RESEARCH INFRASTRUCTURE WITH HISTORICAL CLIMATE AND LIFETIME WORKPLACE ENVIRONMENTAL EXPOSURES INFLUENCING INEQUITIES IN AD/ADRDP30AG066589 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DANA P GOLDMAN, JULIE M ZISSIMOPOULOS · 2020 to 2026
$6.1M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Catherine A Calder · 2017 to 2026
$5.2M
State and Local Educational Contexts of Older U.S. Adults and Their Association with Cognitive Impairment and DementiaR01AG067536 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI WALSEMANN, KATRINA · 2020 to 2024
$2.0M
Education, Early Life Conditions, and Trends in DementiaR56AG057778 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI HAYWARD, MARK D. · 2018 to 2018
$411k
Epigenetic Mechanisms Linking Lifetime Social and Environmental Exposures to Cognitive AgingR00AG076964 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI FARINA, MATTHEW · 2024 to 2024
$249k
Epigenetic Mechanisms Linking Lifetime Social and Environmental Exposures to Cognitive AgingK99AG076964 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FARINA, MATTHEW · 2022 to 2023
$200k
NIA NIH HHS K99 AG076964NIA NIH HHS P30 AG043073NIA NIH HHS P30 AG066589NIA NIH HHS P30 AG066614NIA NIH HHS R00 AG076964NIA NIH HHS R01 AG067536NIA NIH HHS R56 AG057778NIA NIH HHS U01 AG009740NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

backgroundGreater levels of education are associated with lower risk of dementia, but less is known about how education is also associated with the compression of dementia incidence.

objectiveWe extend the literature on morbidity compression by evaluating whether increased levels of education are associated with greater dementia compression. We evaluate these patterns across race and gender groups.

methodsWe use the Health and Retirement Study (2000-2016), a nationally representative longitudinal study of older adults in the United States. To evaluate the onset and compression of dementia across education groups, we examine the age-specific distribution of dementia events, identifying the modal age of onset and the standard deviation above the mode (a measure of compression).

resultsWhile the modal age of onset is around 85 years among adults with a college degree, the modal age for adults with less than a high school education occurs before age 65 - at least a 20-year difference. The standard deviation of dementia onset is about three times greater for adults with less than a high school education compared to adults with a college degree. Patterns were consistent across race and gender groups.

conclusionThis research highlights the variability of dementia experiences in the older population by documenting differences in longevity without dementia and compression of dementia onset among more educated adults and less educated adults. CONTRIBUTION: We incorporate conceptual insights from the life span variability and compression literature to better understand education-dementia disparities in both the postponement and uncertainty of dementia onset in the US population.

Identifiers

PMID38872908
PMCPMC11171414

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.